> **Note:** If you're not seeing the `Data Sources` link in your side menu it means that your current user does not have the `Admin` role for the current organization.
All requests will be made from the browser to Grafana backend/server which in turn will forward the requests to the data source and by that circumvent possible Cross-Origin Resource Sharing (CORS) requirements. The URL needs to be accessible from the grafana backend/server if you select this access mode.
All requests will be made from the browser directly to the data source and may be subject to Cross-Origin Resource Sharing (CORS) requirements. The URL needs to be accessible from the browser if you select this access mode.
If you select Browser access you must update your Elasticsearch configuration to allow other domains to access
Be sure to specify your Elasticsearch version in the version selection dropdown. This is very important as there are differences on how queries are composed.
Currently the versions available are `2.x`, `5.x`, `5.6+`, `6.0+` or `7.0+`. The value `5.6+` means version 5.6 or higher, but lower than 6.0. The value `6.0+` means
version 6.0 or higher, but lower than 7.0. Finally, `7.0+` means version 7.0 or higher, but lower than 8.0.
This option can also be overridden/configured in a dashboard panel under data source options. It's important to note that this value **needs** to be formatted as a
There are two parameters, `Message field name` and `Level field name`, that can optionally be configured from the data source settings page that determine
- **Field -** Name of the field used by the data link.
- **URL/query -** If the link is external, then enter the full link URL. If the link is internal link, then this input serves as query for the target data source. In both cases, you can interpolate the value from the field with `${__value.raw }` macro.
- **Internal link -** Select if the link is internal or external. In case of internal link, a data source selector allows you to select the target data source. Only tracing data sources are supported.
The Elasticsearch query editor allows you to select multiple metrics and group by multiple terms or filters. Use the plus and minus icons to the right to add/remove
metrics or group by clauses. Some metrics and group by clauses haves options, click the option text to expand the row to view and edit metric or group by options.
Some metric aggregations are called Pipeline aggregations, for example, *Moving Average* and *Derivative*. Elasticsearch pipeline metrics require another metric to be based on. Use the eye icon next to the metric to hide metrics from appearing in the graph. This is useful for metrics you only have in the query for use in a pipeline metric.
The Elasticsearch data source supports two types of queries you can use in the *Query* field of *Query* variables. The query is written using a custom JSON string.
| `{"find": "fields", "type": "keyword"}` | Returns a list of field names with the index type `keyword`. |
| `{"find": "terms", "field": "@hostname", "size": 1000}` | Returns a list of values for a field using term aggregation. Query will use current dashboard time range as time range for query. |
| `{"find": "terms", "field": "@hostname", "query": '<lucene query>'}` | Returns a list of values for a field using term aggregation and a specified lucene query filter. Query will use current dashboard time range as time range for query. |
In the above example, we use another variable named `$source` inside the query definition. Whenever you change, via the dropdown, the current value of the ` $source` variable, it will trigger an update of the `$host` variable so it now only contains hostnames filtered by in this case the
These queries by default return results in term order (which can then be sorted alphabetically or numerically as for any variable).
To produce a list of terms sorted by doc count (a top-N values list), add an `orderBy` property of "doc_count".
This automatically selects a descending sort; using "asc" with doc_count (a bottom-N list) can be done by setting `order: "asc"` but [is discouraged](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-terms-aggregation.html#search-aggregations-bucket-terms-aggregation-order) as it "increases the error on document counts".
To keep terms in the doc count order, set the variable's Sort dropdown to **Disabled**; you might alternatively still want to use e.g. **Alphabetical** to re-sort them.
Why two ways? The first syntax is easier to read and write but does not allow you to use a variable in the middle of a word. When the *Multi-value* or *Include all value*
options are enabled, Grafana converts the labels from plain text to a lucene compatible condition.
In the above example, we have a lucene query that filters documents based on the `@hostname` property using a variable named `$hostname`. It is also using
| `Query` | You can leave the search query blank or specify a lucene query. |
| `Time` | The name of the time field, needs to be date field. |
| `Time End` | Optional name of the time end field needs to be date field. If set, then annotations will be marked as a region between time and time-end. |
| `Text` | Event description field. |
| `Tags` | Optional field name to use for event tags (can be an array or a CSV string). |
Querying and displaying log data from Elasticsearch is available in [Explore]({{< relref "../explore" >}}), and in the [logs panel]({{< relref "../panels/visualizations/logs-panel.md" >}}) in dashboards.
Once the result is returned, the log panel shows a list of log rows and a bar chart where the x-axis shows the time and the y-axis shows the frequency/count.
Optionally enter a lucene query into the query field to filter the log messages. For example, using a default Filebeat setup you should be able to use `fields.level:error` to only show error log messages.
It's now possible to configure data sources using config files with Grafana's provisioning system. You can read more about how it works and all the settings you can set for data sources on the [provisioning docs page]({{< relref "../administration/provisioning/#datasources" >}})
AWS users using Amazon's Elasticsearch Service can use Grafana's Elasticsearch data source to visualize Elasticsearch data.
If you are using an AWS Identity and Access Management (IAM) policy to control access to your Amazon Elasticsearch Service domain, then you must use AWS Signature Version 4 (AWS SigV4) to sign all requests to that domain.
For more details on AWS SigV4, refer to the [AWS documentation](https://docs.aws.amazon.com/general/latest/gr/signature-version-4.html).
### AWS Signature Version 4 authentication
> **Note:** Only available in Grafana v7.3+.
In order to sign requests to your Amazon Elasticsearch Service domain, SigV4 can be enabled in the Grafana [configuration]({{< relref "../administration/configuration.md#sigv4_auth_enabled" >}}).
Once AWS SigV4 is enabled, it can be configured on the Elasticsearch data source configuration page. Refer to [Cloudwatch authentication]({{<relref "./cloudwatch.md#authentication" >}}) for more information about authentication options.
{{<docs-imageboximg="/img/docs/v73/elasticsearch-sigv4-config-editor.png"max-width="500px"class="docs-image--no-shadow"caption="SigV4 configuration for AWS Elasticsearch Service">}}
